Evidence map›Paper›PMID 33639916›Full record

ArticleBMC endocrine disorders2021

Relationship between insulin sensitivity and gene expression in human skeletal muscle.

Hemang M Parikh, Targ Elgzyri, Amra Alibegovic, Natalie Hiscock, Ola Ekström, Karl-Fredrik Eriksson, Allan Vaag, Leif C Groop, Kristoffer Ström, Ola Hansson

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Targeting Autophagy: A Promising Therapeutic Strategy for Diabetes Mellitus and Diabetic Nephropathy.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 5 countries.

Hemang M ParikhHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd, Tampa, FL, 33612, USA. parikhhemangm@gmail.com.ORCID http://orcid.org/0000-0002-9076-6709
Targ ElgzyriDepartment of Clinical Sciences, Diabetes & Endocrinology, Lund University, University Hospital Malmö, SE-20502, Malmö, Sweden.
Amra AlibegovicSteno Diabetes Center, DK-2820, Gentofte, Denmark.
Natalie HiscockUnilever Discover R & D, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK.
Ola EkströmDepartment of Clinical Sciences, Diabetes & Endocrinology, Lund University, University Hospital Malmö, SE-20502, Malmö, Sweden.
Karl-Fredrik ErikssonDepartment of Clinical Sciences, Diabetes & Endocrinology, Lund University, University Hospital Malmö, SE-20502, Malmö, Sweden.
Allan VaagSteno Diabetes Center, DK-2820, Gentofte, Denmark.
Leif C GroopDepartment of Clinical Sciences, Diabetes & Endocrinology, Lund University, University Hospital Malmö, SE-20502, Malmö, Sweden.
Kristoffer Ström *Department of Clinical Sciences, Diabetes & Endocrinology, Lund University, University Hospital Malmö, SE-20502, Malmö, Sweden.
Ola Hansson *Department of Clinical Sciences, Diabetes & Endocrinology, Lund University, University Hospital Malmö, SE-20502, Malmö, Sweden.
Malmö University · SESteno Diabetes Centers · DKUniversity of Helsinki · FIUnilever (United Kingdom) · GB

Funding

EXODIAB: Swedish Research Council, Strategic Research Area Dnr 2009-1039LUDC-IRC: Swedish Foundation for Strategic Research Dnr IRC15-0067
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) in skeletal muscle is a key feature of the pre-diabetic state, hypertension, dyslipidemia, cardiovascular diseases and also predicts type 2 diabetes. However, the underlying molecular mechanisms are still poorly understood.

methodsTo explore these mechanisms, we related global skeletal muscle gene expression profiling of 38 non-diabetic men to a surrogate measure of insulin sensitivity, i.e. homeostatic model assessment of insulin resistance (HOMA-IR).

resultsWe identified 70 genes positively and 110 genes inversely correlated with insulin sensitivity in human skeletal muscle, identifying autophagy-related genes as positively correlated with insulin sensitivity. Replication in an independent study of 9 non-diabetic men resulted in 10 overlapping genes that strongly correlated with insulin sensitivity, including SIRT2, involved in lipid metabolism, and FBXW5 that regulates mammalian target-of-rapamycin (mTOR) and autophagy. The expressions of SIRT2 and FBXW5 were also positively correlated with the expression of key genes promoting the phenotype of an insulin sensitive myocyte e.g. PPARGC1A.

conclusionsThe muscle expression of 180 genes were correlated with insulin sensitivity. These data suggest that activation of genes involved in lipid metabolism, e.g. SIRT2, and genes regulating autophagy and mTOR signaling, e.g. FBXW5, are associated with increased insulin sensitivity in human skeletal muscle, reflecting a highly flexible nutrient sensing.

Indexed as

AdultCells, CulturedCohort StudiesFemaleGene ExpressionGene Expression ProfilingHumansInsulin ResistanceMaleMuscle, SkeletalReal-Time Polymerase Chain ReactionSedentary Behavior

Identifiers

PMID33639916
PMCPMC7912896
OpenAlexW3114658317

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.